{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as  plt #画图模块\n",
    "import matplotlib.dates as mdates #日期格式处理模板\n",
    "from matplotlib import style #用来定义图表风格的模块\n",
    "\n",
    "# magic command\n",
    "%matplotlib inline \n",
    "%config InlineBackend.figure_format = 'retina'#提高分辨率"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  导入数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Preclose</th>\n",
       "      <th>Open</th>\n",
       "      <th>Highest</th>\n",
       "      <th>Lowest</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Money</th>\n",
       "      <th>Return</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Day</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1990-12-19</th>\n",
       "      <td>NaN</td>\n",
       "      <td>96.0500</td>\n",
       "      <td>99.9800</td>\n",
       "      <td>95.7900</td>\n",
       "      <td>99.9800</td>\n",
       "      <td>126000</td>\n",
       "      <td>4.940000e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990-12-20</th>\n",
       "      <td>99.9800</td>\n",
       "      <td>104.3000</td>\n",
       "      <td>104.3900</td>\n",
       "      <td>99.9800</td>\n",
       "      <td>104.3900</td>\n",
       "      <td>19700</td>\n",
       "      <td>8.400000e+04</td>\n",
       "      <td>0.044109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990-12-21</th>\n",
       "      <td>104.3900</td>\n",
       "      <td>109.0700</td>\n",
       "      <td>109.1300</td>\n",
       "      <td>103.7300</td>\n",
       "      <td>109.1300</td>\n",
       "      <td>2800</td>\n",
       "      <td>1.600000e+04</td>\n",
       "      <td>0.045407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990-12-24</th>\n",
       "      <td>109.1300</td>\n",
       "      <td>113.5700</td>\n",
       "      <td>114.5500</td>\n",
       "      <td>109.1300</td>\n",
       "      <td>114.5500</td>\n",
       "      <td>3200</td>\n",
       "      <td>3.100000e+04</td>\n",
       "      <td>0.049666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990-12-25</th>\n",
       "      <td>114.5500</td>\n",
       "      <td>120.0900</td>\n",
       "      <td>120.2500</td>\n",
       "      <td>114.5500</td>\n",
       "      <td>120.2500</td>\n",
       "      <td>1500</td>\n",
       "      <td>6.000000e+03</td>\n",
       "      <td>0.049760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-07-25</th>\n",
       "      <td>2901.9518</td>\n",
       "      <td>2891.8918</td>\n",
       "      <td>2897.7674</td>\n",
       "      <td>2872.8497</td>\n",
       "      <td>2886.7416</td>\n",
       "      <td>27463950000</td>\n",
       "      <td>2.732820e+11</td>\n",
       "      <td>-0.005241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-07-26</th>\n",
       "      <td>2886.7416</td>\n",
       "      <td>2885.9953</td>\n",
       "      <td>2899.1162</td>\n",
       "      <td>2875.3959</td>\n",
       "      <td>2890.8973</td>\n",
       "      <td>27838753600</td>\n",
       "      <td>2.754430e+11</td>\n",
       "      <td>0.001440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-07-29</th>\n",
       "      <td>2890.8973</td>\n",
       "      <td>2889.4726</td>\n",
       "      <td>2898.9512</td>\n",
       "      <td>2878.5825</td>\n",
       "      <td>2891.8453</td>\n",
       "      <td>25689972700</td>\n",
       "      <td>2.600950e+11</td>\n",
       "      <td>0.000328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-07-30</th>\n",
       "      <td>2891.8453</td>\n",
       "      <td>2885.2152</td>\n",
       "      <td>2885.2152</td>\n",
       "      <td>2865.1493</td>\n",
       "      <td>2879.2996</td>\n",
       "      <td>26247883700</td>\n",
       "      <td>2.694770e+11</td>\n",
       "      <td>-0.004338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-07-31</th>\n",
       "      <td>2879.2996</td>\n",
       "      <td>2877.5409</td>\n",
       "      <td>2940.5927</td>\n",
       "      <td>2876.3009</td>\n",
       "      <td>2938.7493</td>\n",
       "      <td>41272341700</td>\n",
       "      <td>4.188720e+11</td>\n",
       "      <td>0.020647</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8210 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Preclose       Open    Highest     Lowest      Close  \\\n",
       "Day                                                                 \n",
       "1990-12-19        NaN    96.0500    99.9800    95.7900    99.9800   \n",
       "1990-12-20    99.9800   104.3000   104.3900    99.9800   104.3900   \n",
       "1990-12-21   104.3900   109.0700   109.1300   103.7300   109.1300   \n",
       "1990-12-24   109.1300   113.5700   114.5500   109.1300   114.5500   \n",
       "1990-12-25   114.5500   120.0900   120.2500   114.5500   120.2500   \n",
       "...               ...        ...        ...        ...        ...   \n",
       "2024-07-25  2901.9518  2891.8918  2897.7674  2872.8497  2886.7416   \n",
       "2024-07-26  2886.7416  2885.9953  2899.1162  2875.3959  2890.8973   \n",
       "2024-07-29  2890.8973  2889.4726  2898.9512  2878.5825  2891.8453   \n",
       "2024-07-30  2891.8453  2885.2152  2885.2152  2865.1493  2879.2996   \n",
       "2024-07-31  2879.2996  2877.5409  2940.5927  2876.3009  2938.7493   \n",
       "\n",
       "                 Volume         Money    Return  \n",
       "Day                                              \n",
       "1990-12-19       126000  4.940000e+05       NaN  \n",
       "1990-12-20        19700  8.400000e+04  0.044109  \n",
       "1990-12-21         2800  1.600000e+04  0.045407  \n",
       "1990-12-24         3200  3.100000e+04  0.049666  \n",
       "1990-12-25         1500  6.000000e+03  0.049760  \n",
       "...                 ...           ...       ...  \n",
       "2024-07-25  27463950000  2.732820e+11 -0.005241  \n",
       "2024-07-26  27838753600  2.754430e+11  0.001440  \n",
       "2024-07-29  25689972700  2.600950e+11  0.000328  \n",
       "2024-07-30  26247883700  2.694770e+11 -0.004338  \n",
       "2024-07-31  41272341700  4.188720e+11  0.020647  \n",
       "\n",
       "[8210 rows x 8 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 导入处理\n",
    "data = pd.read_csv('D:/python-homework/python-homework/000001.csv')\n",
    "data['Day']=pd.to_datetime(data['Day'],format='%Y/%m/%d')\n",
    "data.set_index('Day',inplace=True)#索引\n",
    "data['Close']=pd.to_numeric(data['Close'],errors='coerce')#变成数值型\n",
    "data['Preclose']=data['Close'].shift(1)\n",
    "data['Return']=(data['Close']-data['Preclose'])/data['Preclose']\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  Monthly Return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Return</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Day</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1995-01-31</th>\n",
       "      <td>-0.131631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995-02-28</th>\n",
       "      <td>-0.023694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995-03-31</th>\n",
       "      <td>0.177803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995-04-30</th>\n",
       "      <td>-0.103552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995-05-31</th>\n",
       "      <td>0.207922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-03-31</th>\n",
       "      <td>0.008622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-30</th>\n",
       "      <td>0.020932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-31</th>\n",
       "      <td>-0.005801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-06-30</th>\n",
       "      <td>-0.038684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-07-31</th>\n",
       "      <td>-0.009656</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>355 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Return\n",
       "Day                 \n",
       "1995-01-31 -0.131631\n",
       "1995-02-28 -0.023694\n",
       "1995-03-31  0.177803\n",
       "1995-04-30 -0.103552\n",
       "1995-05-31  0.207922\n",
       "...              ...\n",
       "2024-03-31  0.008622\n",
       "2024-04-30  0.020932\n",
       "2024-05-31 -0.005801\n",
       "2024-06-30 -0.038684\n",
       "2024-07-31 -0.009656\n",
       "\n",
       "[355 rows x 1 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_new=data['1995-01-01':'2024-12-31'].copy()\n",
    "Month_data=data_new.resample('ME')['Return'].apply(lambda x:(1+x).prod()-1).to_frame()\n",
    "Month_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  画图Plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  创新：\n",
    "图片颜色、图片线宽、图片大小等"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 700,
       "width": 1648
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax=plt.subplots(figsize=(20,8))\n",
    "\n",
    "ax.plot('Return',#图片数据\n",
    "'-',#图片类型，\n",
    "color='#D98719',#图片颜色\n",
    "label='Monthly Return',#图片标签\n",
    "linewidth=4,#图片线宽\n",
    "data=Month_data)#图片数据来源\n",
    "ax.set_title(\"China's Stock Market Monthly Return\")\n",
    "ax.set_ylabel('Return')\n",
    "ax.set_xlabel('Year')\n",
    "#设置x轴的日期显示格式\n",
    "data_format=mdates.DateFormatter('%Y')\n",
    "ax.xaxis.set_major_formatter(data_format)\n",
    "ax.xaxis.set_major_locator(mdates.YearLocator())\n",
    "#添加图例\n",
    "plt.legend(loc='upper right',fontsize=12)\n",
    "#保存\n",
    "fig.savefig('China_Stock_Market_Monthly_Return.pdf')\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Return</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Day</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-31</th>\n",
       "      <td>-0.226487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-02-29</th>\n",
       "      <td>-0.018125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-03-31</th>\n",
       "      <td>0.117538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-04-30</th>\n",
       "      <td>-0.021838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-31</th>\n",
       "      <td>-0.007385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-30</th>\n",
       "      <td>0.004454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-31</th>\n",
       "      <td>0.016975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-08-31</th>\n",
       "      <td>0.035629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-30</th>\n",
       "      <td>-0.026184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-31</th>\n",
       "      <td>0.031880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-11-30</th>\n",
       "      <td>0.048231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-31</th>\n",
       "      <td>-0.045043</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Return\n",
       "Day                 \n",
       "2016-01-31 -0.226487\n",
       "2016-02-29 -0.018125\n",
       "2016-03-31  0.117538\n",
       "2016-04-30 -0.021838\n",
       "2016-05-31 -0.007385\n",
       "2016-06-30  0.004454\n",
       "2016-07-31  0.016975\n",
       "2016-08-31  0.035629\n",
       "2016-09-30 -0.026184\n",
       "2016-10-31  0.031880\n",
       "2016-11-30  0.048231\n",
       "2016-12-31 -0.045043"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Month_data['2016':'2016']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on function plot in module matplotlib.pyplot:\n",
      "\n",
      "plot(*args: 'float | ArrayLike | str', scalex: 'bool' = True, scaley: 'bool' = True, data=None, **kwargs) -> 'list[Line2D]'\n",
      "    Plot y versus x as lines and/or markers.\n",
      "\n",
      "    Call signatures::\n",
      "\n",
      "        plot([x], y, [fmt], *, data=None, **kwargs)\n",
      "        plot([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs)\n",
      "\n",
      "    The coordinates of the points or line nodes are given by *x*, *y*.\n",
      "\n",
      "    The optional parameter *fmt* is a convenient way for defining basic\n",
      "    formatting like color, marker and linestyle. It's a shortcut string\n",
      "    notation described in the *Notes* section below.\n",
      "\n",
      "    >>> plot(x, y)        # plot x and y using default line style and color\n",
      "    >>> plot(x, y, 'bo')  # plot x and y using blue circle markers\n",
      "    >>> plot(y)           # plot y using x as index array 0..N-1\n",
      "    >>> plot(y, 'r+')     # ditto, but with red plusses\n",
      "\n",
      "    You can use `.Line2D` properties as keyword arguments for more\n",
      "    control on the appearance. Line properties and *fmt* can be mixed.\n",
      "    The following two calls yield identical results:\n",
      "\n",
      "    >>> plot(x, y, 'go--', linewidth=2, markersize=12)\n",
      "    >>> plot(x, y, color='green', marker='o', linestyle='dashed',\n",
      "    ...      linewidth=2, markersize=12)\n",
      "\n",
      "    When conflicting with *fmt*, keyword arguments take precedence.\n",
      "\n",
      "\n",
      "    **Plotting labelled data**\n",
      "\n",
      "    There's a convenient way for plotting objects with labelled data (i.e.\n",
      "    data that can be accessed by index ``obj['y']``). Instead of giving\n",
      "    the data in *x* and *y*, you can provide the object in the *data*\n",
      "    parameter and just give the labels for *x* and *y*::\n",
      "\n",
      "    >>> plot('xlabel', 'ylabel', data=obj)\n",
      "\n",
      "    All indexable objects are supported. This could e.g. be a `dict`, a\n",
      "    `pandas.DataFrame` or a structured numpy array.\n",
      "\n",
      "\n",
      "    **Plotting multiple sets of data**\n",
      "\n",
      "    There are various ways to plot multiple sets of data.\n",
      "\n",
      "    - The most straight forward way is just to call `plot` multiple times.\n",
      "      Example:\n",
      "\n",
      "      >>> plot(x1, y1, 'bo')\n",
      "      >>> plot(x2, y2, 'go')\n",
      "\n",
      "    - If *x* and/or *y* are 2D arrays a separate data set will be drawn\n",
      "      for every column. If both *x* and *y* are 2D, they must have the\n",
      "      same shape. If only one of them is 2D with shape (N, m) the other\n",
      "      must have length N and will be used for every data set m.\n",
      "\n",
      "      Example:\n",
      "\n",
      "      >>> x = [1, 2, 3]\n",
      "      >>> y = np.array([[1, 2], [3, 4], [5, 6]])\n",
      "      >>> plot(x, y)\n",
      "\n",
      "      is equivalent to:\n",
      "\n",
      "      >>> for col in range(y.shape[1]):\n",
      "      ...     plot(x, y[:, col])\n",
      "\n",
      "    - The third way is to specify multiple sets of *[x]*, *y*, *[fmt]*\n",
      "      groups::\n",
      "\n",
      "      >>> plot(x1, y1, 'g^', x2, y2, 'g-')\n",
      "\n",
      "      In this case, any additional keyword argument applies to all\n",
      "      datasets. Also, this syntax cannot be combined with the *data*\n",
      "      parameter.\n",
      "\n",
      "    By default, each line is assigned a different style specified by a\n",
      "    'style cycle'. The *fmt* and line property parameters are only\n",
      "    necessary if you want explicit deviations from these defaults.\n",
      "    Alternatively, you can also change the style cycle using\n",
      "    :rc:`axes.prop_cycle`.\n",
      "\n",
      "\n",
      "    Parameters\n",
      "    ----------\n",
      "    x, y : array-like or scalar\n",
      "        The horizontal / vertical coordinates of the data points.\n",
      "        *x* values are optional and default to ``range(len(y))``.\n",
      "\n",
      "        Commonly, these parameters are 1D arrays.\n",
      "\n",
      "        They can also be scalars, or two-dimensional (in that case, the\n",
      "        columns represent separate data sets).\n",
      "\n",
      "        These arguments cannot be passed as keywords.\n",
      "\n",
      "    fmt : str, optional\n",
      "        A format string, e.g. 'ro' for red circles. See the *Notes*\n",
      "        section for a full description of the format strings.\n",
      "\n",
      "        Format strings are just an abbreviation for quickly setting\n",
      "        basic line properties. All of these and more can also be\n",
      "        controlled by keyword arguments.\n",
      "\n",
      "        This argument cannot be passed as keyword.\n",
      "\n",
      "    data : indexable object, optional\n",
      "        An object with labelled data. If given, provide the label names to\n",
      "        plot in *x* and *y*.\n",
      "\n",
      "        .. note::\n",
      "            Technically there's a slight ambiguity in calls where the\n",
      "            second label is a valid *fmt*. ``plot('n', 'o', data=obj)``\n",
      "            could be ``plt(x, y)`` or ``plt(y, fmt)``. In such cases,\n",
      "            the former interpretation is chosen, but a warning is issued.\n",
      "            You may suppress the warning by adding an empty format string\n",
      "            ``plot('n', 'o', '', data=obj)``.\n",
      "\n",
      "    Returns\n",
      "    -------\n",
      "    list of `.Line2D`\n",
      "        A list of lines representing the plotted data.\n",
      "\n",
      "    Other Parameters\n",
      "    ----------------\n",
      "    scalex, scaley : bool, default: True\n",
      "        These parameters determine if the view limits are adapted to the\n",
      "        data limits. The values are passed on to\n",
      "        `~.axes.Axes.autoscale_view`.\n",
      "\n",
      "    **kwargs : `~matplotlib.lines.Line2D` properties, optional\n",
      "        *kwargs* are used to specify properties like a line label (for\n",
      "        auto legends), linewidth, antialiasing, marker face color.\n",
      "        Example::\n",
      "\n",
      "        >>> plot([1, 2, 3], [1, 2, 3], 'go-', label='line 1', linewidth=2)\n",
      "        >>> plot([1, 2, 3], [1, 4, 9], 'rs', label='line 2')\n",
      "\n",
      "        If you specify multiple lines with one plot call, the kwargs apply\n",
      "        to all those lines. In case the label object is iterable, each\n",
      "        element is used as labels for each set of data.\n",
      "\n",
      "        Here is a list of available `.Line2D` properties:\n",
      "\n",
      "        Properties:\n",
      "        agg_filter: a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array and two offsets from the bottom left corner of the image\n",
      "        alpha: scalar or None\n",
      "        animated: bool\n",
      "        antialiased or aa: bool\n",
      "        clip_box: `~matplotlib.transforms.BboxBase` or None\n",
      "        clip_on: bool\n",
      "        clip_path: Patch or (Path, Transform) or None\n",
      "        color or c: color\n",
      "        dash_capstyle: `.CapStyle` or {'butt', 'projecting', 'round'}\n",
      "        dash_joinstyle: `.JoinStyle` or {'miter', 'round', 'bevel'}\n",
      "        dashes: sequence of floats (on/off ink in points) or (None, None)\n",
      "        data: (2, N) array or two 1D arrays\n",
      "        drawstyle or ds: {'default', 'steps', 'steps-pre', 'steps-mid', 'steps-post'}, default: 'default'\n",
      "        figure: `~matplotlib.figure.Figure`\n",
      "        fillstyle: {'full', 'left', 'right', 'bottom', 'top', 'none'}\n",
      "        gapcolor: color or None\n",
      "        gid: str\n",
      "        in_layout: bool\n",
      "        label: object\n",
      "        linestyle or ls: {'-', '--', '-.', ':', '', (offset, on-off-seq), ...}\n",
      "        linewidth or lw: float\n",
      "        marker: marker style string, `~.path.Path` or `~.markers.MarkerStyle`\n",
      "        markeredgecolor or mec: color\n",
      "        markeredgewidth or mew: float\n",
      "        markerfacecolor or mfc: color\n",
      "        markerfacecoloralt or mfcalt: color\n",
      "        markersize or ms: float\n",
      "        markevery: None or int or (int, int) or slice or list[int] or float or (float, float) or list[bool]\n",
      "        mouseover: bool\n",
      "        path_effects: list of `.AbstractPathEffect`\n",
      "        picker: float or callable[[Artist, Event], tuple[bool, dict]]\n",
      "        pickradius: float\n",
      "        rasterized: bool\n",
      "        sketch_params: (scale: float, length: float, randomness: float)\n",
      "        snap: bool or None\n",
      "        solid_capstyle: `.CapStyle` or {'butt', 'projecting', 'round'}\n",
      "        solid_joinstyle: `.JoinStyle` or {'miter', 'round', 'bevel'}\n",
      "        transform: unknown\n",
      "        url: str\n",
      "        visible: bool\n",
      "        xdata: 1D array\n",
      "        ydata: 1D array\n",
      "        zorder: float\n",
      "\n",
      "    See Also\n",
      "    --------\n",
      "    scatter : XY scatter plot with markers of varying size and/or color (\n",
      "        sometimes also called bubble chart).\n",
      "\n",
      "    Notes\n",
      "    -----\n",
      "    **Format Strings**\n",
      "\n",
      "    A format string consists of a part for color, marker and line::\n",
      "\n",
      "        fmt = '[marker][line][color]'\n",
      "\n",
      "    Each of them is optional. If not provided, the value from the style\n",
      "    cycle is used. Exception: If ``line`` is given, but no ``marker``,\n",
      "    the data will be a line without markers.\n",
      "\n",
      "    Other combinations such as ``[color][marker][line]`` are also\n",
      "    supported, but note that their parsing may be ambiguous.\n",
      "\n",
      "    **Markers**\n",
      "\n",
      "    =============   ===============================\n",
      "    character       description\n",
      "    =============   ===============================\n",
      "    ``'.'``         point marker\n",
      "    ``','``         pixel marker\n",
      "    ``'o'``         circle marker\n",
      "    ``'v'``         triangle_down marker\n",
      "    ``'^'``         triangle_up marker\n",
      "    ``'<'``         triangle_left marker\n",
      "    ``'>'``         triangle_right marker\n",
      "    ``'1'``         tri_down marker\n",
      "    ``'2'``         tri_up marker\n",
      "    ``'3'``         tri_left marker\n",
      "    ``'4'``         tri_right marker\n",
      "    ``'8'``         octagon marker\n",
      "    ``'s'``         square marker\n",
      "    ``'p'``         pentagon marker\n",
      "    ``'P'``         plus (filled) marker\n",
      "    ``'*'``         star marker\n",
      "    ``'h'``         hexagon1 marker\n",
      "    ``'H'``         hexagon2 marker\n",
      "    ``'+'``         plus marker\n",
      "    ``'x'``         x marker\n",
      "    ``'X'``         x (filled) marker\n",
      "    ``'D'``         diamond marker\n",
      "    ``'d'``         thin_diamond marker\n",
      "    ``'|'``         vline marker\n",
      "    ``'_'``         hline marker\n",
      "    =============   ===============================\n",
      "\n",
      "    **Line Styles**\n",
      "\n",
      "    =============    ===============================\n",
      "    character        description\n",
      "    =============    ===============================\n",
      "    ``'-'``          solid line style\n",
      "    ``'--'``         dashed line style\n",
      "    ``'-.'``         dash-dot line style\n",
      "    ``':'``          dotted line style\n",
      "    =============    ===============================\n",
      "\n",
      "    Example format strings::\n",
      "\n",
      "        'b'    # blue markers with default shape\n",
      "        'or'   # red circles\n",
      "        '-g'   # green solid line\n",
      "        '--'   # dashed line with default color\n",
      "        '^k:'  # black triangle_up markers connected by a dotted line\n",
      "\n",
      "    **Colors**\n",
      "\n",
      "    The supported color abbreviations are the single letter codes\n",
      "\n",
      "    =============    ===============================\n",
      "    character        color\n",
      "    =============    ===============================\n",
      "    ``'b'``          blue\n",
      "    ``'g'``          green\n",
      "    ``'r'``          red\n",
      "    ``'c'``          cyan\n",
      "    ``'m'``          magenta\n",
      "    ``'y'``          yellow\n",
      "    ``'k'``          black\n",
      "    ``'w'``          white\n",
      "    =============    ===============================\n",
      "\n",
      "    and the ``'CN'`` colors that index into the default property cycle.\n",
      "\n",
      "    If the color is the only part of the format string, you can\n",
      "    additionally use any  `matplotlib.colors` spec, e.g. full names\n",
      "    (``'green'``) or hex strings (``'#008000'``).\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(plt.plot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Return</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Day</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1995-12-31</th>\n",
       "      <td>-0.142899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996-12-31</th>\n",
       "      <td>0.651425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-12-31</th>\n",
       "      <td>0.302153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998-12-31</th>\n",
       "      <td>-0.039695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-12-31</th>\n",
       "      <td>0.191750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-12-31</th>\n",
       "      <td>0.517277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001-12-31</th>\n",
       "      <td>-0.206180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002-12-31</th>\n",
       "      <td>-0.175167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003-12-31</th>\n",
       "      <td>0.102670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-12-31</th>\n",
       "      <td>-0.153997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-31</th>\n",
       "      <td>-0.083253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-31</th>\n",
       "      <td>1.304334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-12-31</th>\n",
       "      <td>0.966593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-12-31</th>\n",
       "      <td>-0.653941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009-12-31</th>\n",
       "      <td>0.799825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-12-31</th>\n",
       "      <td>-0.143131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-12-31</th>\n",
       "      <td>-0.216753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-12-31</th>\n",
       "      <td>0.031695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-12-31</th>\n",
       "      <td>-0.067493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-31</th>\n",
       "      <td>0.528691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-31</th>\n",
       "      <td>0.094136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-31</th>\n",
       "      <td>-0.123062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-31</th>\n",
       "      <td>0.065578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-31</th>\n",
       "      <td>-0.245911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31</th>\n",
       "      <td>0.223032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-31</th>\n",
       "      <td>0.138667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-31</th>\n",
       "      <td>0.048001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-12-31</th>\n",
       "      <td>-0.151251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-31</th>\n",
       "      <td>-0.037007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-12-31</th>\n",
       "      <td>-0.012163</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Return\n",
       "Day                 \n",
       "1995-12-31 -0.142899\n",
       "1996-12-31  0.651425\n",
       "1997-12-31  0.302153\n",
       "1998-12-31 -0.039695\n",
       "1999-12-31  0.191750\n",
       "2000-12-31  0.517277\n",
       "2001-12-31 -0.206180\n",
       "2002-12-31 -0.175167\n",
       "2003-12-31  0.102670\n",
       "2004-12-31 -0.153997\n",
       "2005-12-31 -0.083253\n",
       "2006-12-31  1.304334\n",
       "2007-12-31  0.966593\n",
       "2008-12-31 -0.653941\n",
       "2009-12-31  0.799825\n",
       "2010-12-31 -0.143131\n",
       "2011-12-31 -0.216753\n",
       "2012-12-31  0.031695\n",
       "2013-12-31 -0.067493\n",
       "2014-12-31  0.528691\n",
       "2015-12-31  0.094136\n",
       "2016-12-31 -0.123062\n",
       "2017-12-31  0.065578\n",
       "2018-12-31 -0.245911\n",
       "2019-12-31  0.223032\n",
       "2020-12-31  0.138667\n",
       "2021-12-31  0.048001\n",
       "2022-12-31 -0.151251\n",
       "2023-12-31 -0.037007\n",
       "2024-12-31 -0.012163"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Quarterly_data=data_new.resample('QE')['Return'].apply(lambda x:(1+x).prod()-1).to_frame()\n",
    "Yearly_data=data_new.resample('YE')['Return'].apply(lambda x:(1+x).prod()-1).to_frame()\n",
    "Quarterly_data\n",
    "Yearly_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "中国股票市场收益率年化均值是： 12.16 %\n"
     ]
    }
   ],
   "source": [
    "print('中国股票市场收益率年化均值是：',Yearly_data['1995':'2023']['Return'].mean().round(4)*100,'%')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "中国股票市场月度收益率的均值是: 0.73 %\n"
     ]
    }
   ],
   "source": [
    "print('中国股票市场月度收益率的均值是:',Month_data['1995':'2023']['Return'].mean().round(4)*100,'%')"
   ]
  }
 ],
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